Traditional image stitching using parametric transforms such as homography, only produces perceptually correct composites for planar scenes or parallax free camera motion between source frames. This limits mosaicing to images taken from the same physical location. In this paper, we introduce a smoothly varying affine field which is flexible enough handle while retaining good extrapolation and occlusion handling properties of transforms. Our algorithm jointly estimates both correspondence,...

Almost half of dental restorations have failed in less than 10 years, and approximately 60% practice time has been consumed to replace these restorations. As such, contemporary dentin adhesives should be modified treat secondary caries prevent the degradation adhesive-dentin interfaces. To achieve this goal, we developed a versatile therapeutic adhesive present study by incorporating quercetin, which is naturally derived plant extract, into commercial at three concentrations (100, 500 1000...

Introduction: Plaque biofilms, mainly formed by Streptococcus mutans (S. mutans), play an important role in the occurrence and development of dental caries. Antibiotic treatment is traditional way to control plaque. However, problems such as poor drug penetration antibiotic resistance have encouraged search for alternative strategies. In this paper, we hope avoid through antibacterial effect curcumin, a natural plant extract with photodynamic effects, on S. mutans. clinical application...

The urgent demand for lithium resources has been advancing the development of high-efficient extraction from brines. Aluminum-based adsorbent, as only one used in salt lake industry, is limited to further improve efficiency due low adsorption capacity. Here, we develop a high-throughput screening framework via interpretable machine learning (ML) rapidly determine high-performance modification strategies aluminum-based avoiding huge workload traditional trial-and-error doping experiments view...

The urgent demand for lithium resources has been advancing the development of high‐efficient extraction from brines. Aluminum‐based adsorbent, as only one used in salt lake industry, is limited to further improve efficiency due low adsorption capacity. Here, we develop a high‐throughput screening framework via interpretable machine learning (ML) rapidly determine high‐performance modification strategies aluminum‐based avoiding huge workload traditional trial‐and‐error doping experiments view...

We proposed a chromatic confocal measurement method for color recognition of spectral signals that uses detector. This addressed insufficient resolution using quantization-based subdivision, and it provided theoretical basis to improve resolution. In addition, its size was approximately 1/200th conventional spectrometers on the market, which conducive realization online detection applications. Furthermore, this used one-point data obtain position, significant absolute efficiency advantage....

Desensitizing agents are frequently applied to sensitive teeth and may affect subsequent resin bonding. The current study aimed evaluate the bonding performance of two self‐etch adhesives containing functional monomers dentine pretreated with three new calcium‐containing desensitizers. No desensitizer was in control group. Groups 1, 2, 3 were treated an arginine–calcium carbonate‐containing polishing paste, a casein phosphopeptide–amorphous calcium phosphate ( CPP ‐ ACP )‐containing...

Aligning image pairs with significant appearance change is a long standing computer vision challenge. Much of this problem stems from the local patch descriptors' instability to variation. In paper we suggest due less descriptor corruption and more difficulty in utilizing information canonically define orientation (scale rotation) at which patch's should be computed. We address issue by jointly estimating correspondence relative orientation, within hierarchical algorithm that utilizes...

Nowadays, due to the growing need for remote care and constantly increasing popularity of mobile devices, a large amount applications support has been developed. Although phones are very suitable young people, there still many problems related health elderly. Due hearing loss or limited movements, it is difficult elderly contact their families doctors via real-time video call. In this paper, we introduce new health-care system based on moving robots intended at home. Since proposed an online...

In this work, we investigate the problem of automatically inferring lattice structure near-regular textures (NRT) in real-world images. Our technique leverages PatchMatch algorithm for finding k-nearest-neighbor (kNN) correspondences an image. We use these kNNs to recover initial estimate 2D wallpaper basis vectors, and seed vertices texture lattice. iteratively expand by solving MRF optimization problem. show that can discretize space good solutions using kNNs, allowing us efficiently...

In this paper, we propose a location based reminder system with image recognition technology. With system, mobile phone users can actively capture pictures from their favorite product or event promotional materials. After the user sends picture to computer server, reminders will be downloaded phone. The alert when he/she is close place where selling happening. Kd-tree matching and geometric validation are used identify which interested in. A client application developed take pictures,...

We propose a vector space approach for relighting Lambertian convex object with distant light source, whose crucial task is the decomposition of reflectance function into albedos (or reflection coefficients) and lightings based on set images same its 3-D model. Making use fact that functions are well approximated by low-dimensional linear subspace spanned first few spherical harmonics, this inverse problem can be formulated as matrix factorization, in which basis encoded harmonic <i>S</i>. A...

Many high dimensional vector distances tend to a constant. This is typically considered negative "contrast-loss" phenomenon that hinders clustering and other machine learning techniques. We reinterpret as blessing. Re-deriving using the law of large numbers, we show it results in distribution's instances concentrating on thin "hyper-shell". The hollow center means apparently chaotically overlapping distributions are actually intrinsically separable. use this develop distribution-clustering,...

Apigenin is a type of flavonols that exhibits anti-caries properties. Bacterial adherence the initial step in forming stable biofilm leads to caries. affected by surface characteristics, including hydrophobicity and bacterial aggregation. However, effect apigenin on characteristics cariogenic bacteria has not been reported. We aimed examine effects formation Streptococcus mutans UA159. Hydrophobicity aggregation, pac gbpC gene expressions, cytotoxicity human dental pulp cells were also...

SLAM (Simultaneous Localization And Mapping) seeks to provide a moving agent with real-time self-localization. To achieve speed, incrementally propagates position estimates. This makes fast but also it vulnerable local pose estimation failures. As is ill-conditioned, failures happen regularly, making the overall system brittle. paper attempts correct this problem. We note that while over longer sequences well-conditioned. Thus, errors eventually manifest themselves as mapping...

We propose a novel relighting approach that takes advantage of multiple color plus depth images acquired from consumer camera. Assuming distant illumination and Lambertian reflectance, we model the reflected light field in terms spherical harmonic coefficients bi-directional reflectance distribution function lighting. make use noisy information together with taken under different conditions to refine surface normals inferred depth. first perform refinement on using order harmonics....